The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2025

Filed:

Sep. 10, 2019
Applicant:

3m Innovative Properties Company, St. Paul, MN (US);

Inventors:

Gilles J. Benoit, Minneapolis, MN (US);

Brian E. Brooks, St. Paul, MN (US);

Peter O. Olson, Andover, MN (US);

Tyler W. Olson, Woodbury, MN (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2005.12); B60W 40/064 (2011.12); B60W 40/08 (2011.12); B60W 40/105 (2011.12); G05B 13/02 (2005.12); G05B 19/4065 (2005.12); G05B 19/418 (2005.12); G05B 23/02 (2005.12); G06F 18/21 (2022.12); G06N 5/043 (2022.12); G06N 5/046 (2022.12); G06N 7/01 (2022.12); G06Q 10/0631 (2022.12); G06Q 10/0639 (2022.12); G06Q 10/087 (2022.12); G06Q 30/0202 (2022.12);
U.S. Cl.
CPC ...
G05B 13/042 (2012.12); B60W 40/064 (2012.12); B60W 40/08 (2012.12); B60W 40/105 (2012.12); G05B 13/021 (2012.12); G05B 13/024 (2012.12); G05B 13/0265 (2012.12); G05B 13/041 (2012.12); G05B 19/4065 (2012.12); G05B 19/41835 (2012.12); G05B 23/0229 (2012.12); G05B 23/0248 (2012.12); G06F 18/2193 (2022.12); G06N 5/043 (2012.12); G06N 5/046 (2012.12); G06N 7/01 (2022.12); G06Q 10/06315 (2012.12); G06Q 10/06395 (2012.12); G06Q 30/0202 (2012.12); G05B 2219/36301 (2012.12); G06Q 10/087 (2012.12);
Abstract

A system and methods for multivariant learning and optimization repeatedly generate self-organized experimental units (SOEUs) based on the one or more assumptions for a randomized multivariate comparison of process decisions to be provided to users of a system. The SOEUs are injected into the system to generate quantified inferences about the process decisions. Responsive to injecting the SOEUs, at least one confidence interval is identified within the quantified inferences, and the SOEUs are iteratively modified based on the at least one confidence interval to identify at least one causal interaction of the process decisions within the system. The causal interaction can be used for testing, diagnosis, and optimization of the system performance.


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